In Soviet Russia (RSFSR) in 1939 and 1959, ethnic Russians made up the largest share of the total population, with a share of approximately 83 percent. Tatars were the second largest ethnic group, followed by Ukrainians. Russians were consistently the largest ethnic group in the Soviet Union as a whole, with an overall share of 53 percent in 1979.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Russia by race. It includes the distribution of the Non-Hispanic population of Russia across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Russia across relevant racial categories.

Key observations

With a zero Hispanic population, Russia is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 726 (99.05% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Russia
• Population: The population of the racial category (for Non-Hispanic) in the Russia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here

In 2024, the total population of Russia was around 146.1 million people. Only a fraction of them live in the major Russian cities. With almost 12.5 million inhabitants, Moscow is the largest of them. In the upcoming years until 2030, the population was forecast to decline.Russia's economy Russia is one of the major economies in the world and is one of the wealthiest nations. Following the 1998 Russian financial crisis, Russia introduced several structural reforms that allowed for a fast economic recovery. Following these reforms, Russia experienced significant economic growth from the early 2000s and improved living standards in general for the country. A reason for the momentous economical boost was the rise in commodity prices as well as a boom in the total amount of consumer credit. Additionally, Russia is highly dependent on the mining and production of natural resources, primarily in the energy department, in order to promote economic growth in the country. Due to large energy reserves throughout the country, Russia has developed a stable economy capable of sustaining itself for many years into the future. The majority of Russian oil and energy reserves are located in the Western Siberian areas. These natural gas liquids, along with oil reserves that consist of crude oil, shale oil and oil sands are constantly used for the production of consumable oil, which is an annually growing industry in Russia. Oil products are one of Russia’s primary exports and the country is able to profit entirely off of sales due to high prices as well as high demand for such goods.

As of January 1, 2025, more than 146 million people were estimated to be residing on the Russian territory, down approximately 30,000 from the previous year. From the second half of the 20th century, the population steadily grew until 1995. Furthermore, the population size saw an increase from 2009, getting closer to the 1995 figures. In which regions do most Russians live? With some parts of Russia known for their harsh climate, most people choose regions which offer more comfortable conditions. The largest share of the Russian population, or 40 million, reside in the Central Federal District. Moscow, the capital, is particularly populated, counting nearly 13 million residents. Russia’s population projections Despite having the largest country area worldwide, Russia’s population was predicted to follow a negative trend under both low and medium expectation forecasts. Under the low expectation forecast, the country’s population was expected to drop from 146 million in 2022 to 134 million in 2036. The medium expectation scenario projected a milder drop to 143 million in 2036. The issues of low birth rates and high death rates in Russia are aggravated by the increasing desire to emigrate among young people. In 2023, more than 20 percent of the residents aged 18 to 24 years expressed their willingness to leave Russia.

About this dataset

Context

The dataset tabulates the population of Russia by race. It includes the population of Russia across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia across relevant racial categories.

Key observations

The percent distribution of Russia population by race (across all racial categories recognized by the U.S. Census Bureau): 99.29% are white and 0.71% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Russia
• Population: The population of the racial category (excluding ethnicity) in the Russia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here

Throughout the history of the Soviet Union, Russians were consistently the largest ethnic group in the USSR. Of a total population of 262 million people in 1979, the share who were Russian was over 137 million, which is equal to roughly 52 percent. In 1989, the total population of the Soviet Union was almost 286 million, with the ethnic Russian population at 145 million, or 51 percent. Following the dissolution of the Soviet Union in 1991, the Tatars were the only of the ten largest ethnic groups not to be given their own independent country, with Tatarstan instead becoming one of Russia's federal republics.

The total population in Russia was estimated at 146.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Russia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Languages:Percent Russian Speakers: Basic demographics by census tracts in King County based on current American Community Survey 5 Year Average (ACS). Included demographics are: total population; foreign born; median household income; English language proficiency; languages spoken; race and ethnicity; sex; and age. Numbers and derived percentages are estimates based on the current year's ACS. GEO_ID_TRT is the key field and may be used to join to other demographic Census data tables.

Context

You found Russian Demography (1990-2017) Dataset. It contains demographic features like natural population growth, birth rate, urbanization, etc. Data was collected from various Internet resources.

Content

Dataset has 2380 rows and 7 columns. Keys for columns:

• "year" - year (1990-2017)
• "region" - name of a federal subject of Russia. It could be oblast, republic, krai, autonomous okrug, federal city and a single autonomous oblast
• "npg" - natural population growth by 1000 people. Calculating as the difference between birth rate and death rate
• "birth_rate" - number of births by 1000 people
• "death_rate" - number of deaths by 1000 people
• "gdw" - general demographic weight (how many people of non-woking age account for 100 people of working age). Working age for men 16-60 years, for women 16-55 years
• "urbanization" - % of urban population

Acknowledgements

ЕМИСС (UIISS) - Unified interdepartmental information and statistical system

Inspiration

You can analyze the relationships between various years, find best regions by each feature and compare them.

About this dataset

Context

The dataset tabulates the population of Russia town by race. It includes the population of Russia town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Russia town across relevant racial categories.

Key observations

The percent distribution of Russia town population by race (across all racial categories recognized by the U.S. Census Bureau): 93.32% are white, 1.53% are Black or African American, 1.36% are American Indian and Alaska Native, 0.25% are Asian and 3.55% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Russia town
• Population: The population of the racial category (excluding ethnicity) in the Russia town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Russia town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia town Population by Race & Ethnicity. You can refer the same here

1-year population age-sex structures of Russian municipalities. The data comes from Russian Census 2002. For each municipality, the data is available for urban and rural sub-populations. Median age of the population is calculated. The CSV files are encoded in UTF-8.

This graph shows the total population of the Russian Partition, sometimes known as Russian Poland, between the years 1815 and 1897. In the late eighteenth century the Polish-Lithuanian Commonwealth entered a period of political, military and economic decline and was its territories were then split between Austria, Prussia and Russia, and there was no official Polish state until 1918. The Russian Partition covered some of modern-day Poland, as well as much of Ukraine, Belarus, Lithuania and Latvia, and the number of ethnic Poles in these regions was much higher than it is today.

From the graph we can see that the population of this area was 2.6 million people in 1815, and it grew to be just under 9.5 million before the turn of the next century. This proved to be a tumultuous period in the region's history, including some rebellions and uprisings, and harsh Russification policies that made life difficult for the natives. Despite this turmoil, it is difficult to assess its impact on the local populations. We can see that growth in the 1850s and 1860s was stagnant and the population even dropped during this time, although there is no clear explanation for this today. Poland eventually became an independent state again in 1918 after the First World War, although the period after this would prove to be the most devastating in Poland's history.

Russia RU: Population: per 1 000 Inhabitants data was reported at 145,845.590 Person in 2021. This records a decrease from the previous number of 146,459.800 Person for 2020. Russia RU: Population: per 1 000 Inhabitants data is updated yearly, averaging 146,432.900 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 148,538.190 Person in 1992 and a record low of 141,909.250 Person in 2009. Russia RU: Population: per 1 000 Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Russian Federation – Table RU.OECD.GGI: Social: Demography: Non OECD Member: Annual.

About this dataset

Context

The dataset presents the median household income across different racial categories in Russia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Russia population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 99.05% of the total residents in Russia. Notably, the median household income for White households is $76,458. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $76,458.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Russia.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia median household income by race. You can refer the same here

In 1979, over 52 percent of the Soviet Union's total population was comprised of ethnic Russians. Ukrainians made up the second largest ethnic group, at 16 percent. No other ethnic group or nationality made up more than five percent of the USSR's total population.

Abstract

The Russia Longitudinal Monitoring Survey (RLMS) is a household-based survey designed to measure the effects of Russian reforms on the economic well-being of households and individuals. In particular, determining the impact of reforms on household consumption and individual health is essential, as most of the subsidies provided to protect food production and health care have been or will be reduced, eliminated, or at least dramatically changed. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dietary intake, precise measurement of household-level expenditures and service utilization, and collection of relevant community-level data, including region-specific prices and community infrastructure data. Data have been collected since 1992.

Geographic coverage

National

Analysis unit

Households and individuals.

Kind of data

Sample survey data [ssd]

Sampling procedure

In Phase II (Rounds V- XX) of the RLMS, a multi-stage probability sample was employed. Please refer to the March 1997 review of the Phase II sample. First, a list of 2,029 consolidated regions was created to serve as PSUs. These were allocated into 38 strata based largely on geographical factors and level of urbanization but also based on ethnicity where there was salient variability. As in many national surveys involving face-to-face interviews, some remote areas were eliminated to contain costs; also, Chechnya was eliminated because of armed conflict. From among the remaining 1,850 regions (containing 95.6 percent of the population), three very large population units were selected with certainty: Moscow city, Moscow Oblast, and St. Petersburg city constituted self-representing (SR) strata. The remaining non-self-representing regions (NSR) were allocated to 35 equal-sized strata. One region was then selected from each NSR stratum using the method "probability proportional to size" (PPS). That is, the probability that a region in a given NSR stratum was selected was directly proportional to its measure of population size.

The NSR strata were designed to have approximately equal sizes to improve the efficiency of estimates. The target population (omitting the deliberate exclusions described above) totaled over 140 million inhabitants. Ideally, one would use the population of eligible households, not the population of individuals. As is often the case, we were obliged to use figures on the population of individuals as a surrogate because of the unavailability of household figures in various regions.

Although the target sample size was set at 4,000, the number of households drawn into the sample was inflated to 4,718 to allow for a nonresponse rate of approximately 15 percent. The number of households drawn from each of the NSR strata was approximately equal (averaging 108), since the strata were of approximately equal size and PPS was employed to draw the PSUs in each one. However, because response rates were expected to be higher in urban areas than in rural areas, the extent of over-sampling varied. This variation accounted for the differences in households drawn across the NSR PSUs. It also accounted for the fact that 940 households were drawn in the three SR strata--more than the 14.6 percent (i.e. 689) that would have been allotted based on strict proportionality.

Since there was no consolidated list of households or dwellings in any of the 38 selected PSUs, an intermediate stage of selection was then introduced, as usual. Professional samplers will recognize that this is actually the first stage of selection in the three SR strata, since those units were selected with certainty. That is, technically, in Moscow, St. Petersburg, and Moscow oblast, the census enumeration districts were the PSUs. However, it was cumbersome to keep making this distinction throughout the description, and researchers followed the normal practice of using the terms "PSU" and "SSU" loosely. Needless to say, in the calculation of design effects, where the distinction is critical, the proper distinction was maintained. The selection of second-stage units (SSUs) differed depending on whether the population was urban (located in cities and "villages of the city type," known as "PGTs") or rural (located in villages). That is, within each selected PSU the population was stratified into urban and rural substrata, and the target sample size was allocated proportionately to the two substrata. For example, if 40 percent of the population in a given region was rural, 40 of the 100 households allotted to the stratum were drawn from villages.

In rural areas of the selected PSUs, a list of all villages was compiled to serve as SSUs. The list was ordered by size and (where salient) by ethnic composition. PPS was employed to select one village for each 10 households allocated to the rural substratum. Again, under the standard principles of PPS, once the required number of villages was selected, an equal number of households in the sample (10) were allocated to each village. Since villages maintain very reliable lists of households, in each selected village the 10 households were selected systematically from the household list. In a few cases, villages were judged to be too small to sustain independent interviews with 10 households; in such cases, three or four tiny villages were treated as a single SSU for sampling purposes.

In urban areas, SSUs were defined by the boundaries of 1989 census enumeration districts, if possible. If the necessary information was not available, 1994 microcensus enumeration districts, voting districts, or residential postal zones were employed--in decreasing order of preference. Since census enumeration districts were originally designed to be roughly equal in population size, one district was selected systematically without using PPS for each 10 households required in the sample. In the few cases where postal zones were used, one zone was likewise selected systematically for each 10 households. However, where voting districts were used, to compensate for the marked variation in population size, PPS was employed to select one voting district for each 10 households required in the urban sub-stratum.

In both urban and rural substrata, interviewers were required to visit each selected dwelling up to three times to secure the interviews. They were not allowed to make substitutions of any sort. The interviewers' first task was to identify households at the designated dwellings. "Household" was defined as a group of people who live together in a given domicile, and who share common income and expenditures. Households were also defined to include unmarried children, 18 years of age or younger, who were temporarily residing outside the domicile at the time of the survey. If perchance the interviewer identified more than one household in the dwelling, he or she was obliged to select one using a procedure outlined in the technical report. The interviewer then administered a household questionnaire to the most knowledgeable and willing member of the household.

The interviewer then conducted interviews with as many adults as possible, acquiring data about their individual activities and health. Data for the children's questionnaires were obtained from adults in the household. By virtue of the fact that an attempt was made to obtain individual questionnaires for all members of households, the sample constitutes a proper probability sample of individuals as well as of households, without any special weighting. Actually, the fact that we did not interview unmarried minors living temporarily outside the domicile slightly diminished the representativeness of the sample of individuals in that age group.

The multivariate distribution of the sample by sex, age, and urban-rural location compared quite well with the corresponding multivariate distribution of the 1989 census. Of course, because of random sampling error and changes in the distribution since the 1989 census, we did not expect perfect correspondence. Nevertheless, there was usually a difference of only one percentage point or less between the two distributions.

Another way to evaluate the adequacy (or efficiency) of the sample was to examine design effects. An important factor in determining the precision of estimates in multi-stage samples was the mean ultimate cluster (PSU) size. All else being equal, the larger the size the less precise the measure is. In Rounds I through IV of the RLMS, the average cluster size approached 360--a large number dictated by constraints imposed by our collaborators. Thus, although the sample size covered around 6,000 households, precision was less than we would have liked for a sample of that size. In Rounds I and III of the RLMS, the 95 percent confidence interval for household income was about ?±13 percent.

In the Phase II (Rounds V - XX) sample, the situation was considerably better. Although there were only 4,000 households, the mean size of clusters was much smaller than in Phase I. There were 35 PSUs with about 100 households each; even this result was an improvement over the average of 360 in the design of the RLMS Rounds I through IV. However, in the three self-representing areas, the respondents were drawn from 61 PSUs. Recall that Moscow city and oblast, as well as St. Petersburg city, were not sampled but were chosen with certainty. Therefore, the first stage of selection in them was the selection of census enumeration districts. Thus the mean cluster size in the entire sample was about 42, i.e., 4,000/(35+61). Given these much smaller cluster sizes, researchers had reason to expect that precision in this survey would be as good as it was in Rounds I through IV despite the smaller sample size, and this expectation, in fact, turned out

Population: SF: Krasnodar Territory: Novorossiysk data was reported at 338.800 Person th in 2019. This records an increase from the previous number of 338.300 Person th for 2018. Population: SF: Krasnodar Territory: Novorossiysk data is updated yearly, averaging 248.600 Person th from Dec 1999 (Median) to 2019, with 21 observations. The data reached an all-time high of 338.800 Person th in 2019 and a record low of 227.900 Person th in 2007. Population: SF: Krasnodar Territory: Novorossiysk data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA018: Population: by City: Southern Federal District.

This dataset tracks annual two or more races student percentage from 2017 to 2023 for Russia Local School District vs. Ohio

Percentage of individuals in multi-ethnic households, Ukrainian mono-ethnic households and Russian mono-ethnic households by region. Data from the 2001 Census.

See link to related inforgraphic below.

2001 census results are only available in Ukrainian: У збірнику "Домогосподарства України. Домогосподарства за розміром та характеристикою членів домогосподарств " наведено дані щодо розміру індивідуальних домогосподарств та характеристики членів домогосподарств в Україні, Автономній Республіці Крим, областях, м. Києві та Севастопольській міськраді.

About this dataset

Context

The dataset tabulates the population of Russia by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Russia across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.48% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Russia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Russia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia Population by Race & Ethnicity. You can refer the same here